• Asian Pacific Journal of Cancer Prevention
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• v.16 no.12
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• pp.4977-4980
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• 2015

Background: ASC-US cases are managed according to the current American Society for Colposcopy and Cervical Pathology (ASCCP) guideline in which a human papillomavirus (HPV) test and repeat Pap smear are performed in the next 1 year. Colposcopy in cases of positive high risk HPV and persistent ASC-US or more in subsequent Pap smear is recommended. The HPV test is more expensive and still not currently a routine practice in Thailand. Objective: To identify the risk factors of persisted abnormal Pap smear and the colposcopic requirement rate in women with ASC-US. Materials and Methods: During 2008-2013, this study was conducted in Prapokklao Hospital, Chanthaburi, Thailand. Participants were women who attended gynaecology clinic for cervical cancer screening. Women who had cytological reports with ASC-US were recruited. During the study period, 503 cases were enrolled. Colposcopic requirement was defined as those who were detected with an ASC-US or more in subsequent Pap smears up to 1 year follow-up. Results: The colposcopic referral rate was 23.2 (85/365) percent at 12 months. Prevalence of cervical intraepithelial neoplasia (CIN) 2/3 was 3.3 (12/365) percent. Loss follow-up rate of subsequent Pap smear and colposcopic appointment were 27.4 (138/503) and 48.2 (41/85) percent, respectively. There was no invasive cancer. High risk factors for persisted abnormal Pap smears in subsequent test were premenopausal status, HIV infected patients and non-oral contraceptive pills (COC) users. Conclusions: Referral rate for colposcopy in women with ASC-US reports was rather high. Loss to follow-up rate was the major limitation. Immediate colposcopy should be offered for women who had high risk for silent CIN.

• Health Policy and Management
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• v.20 no.4
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• pp.1-18
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• 2010

Much policy attention has been directed to the concentration of patients in large hospitals, especially in tertiary care hospitals. In order to address the problem, the government has enforced referral requirement for accessing care in tertiary care hospitals by denying insurance benefits to the patients who do not observe the requirement. This approach somehow has failed to produce expected effects although it still exists in theory. The concentration of patients in a certain type of providers results in the distortion of functional differentiation among various types of providers and vice versa. Thus the approaches for the alleviation of the problem should be directed to both patients and providers. However, policy approaches has so far focused on ways of directly affecting patients' choice of a provider neglecting the effects of providers. Based upon the observation, this paper has reviewed selected issues that should be considered in agenda setting for policies concerned with the concentration of patients in large hospitals or the distortion of functional differentiation among health care providers. A brief discussion of each of the issues suggests three general guidelines for the formulation and implementation of policies intended to address the problem. First, attention should be directed to both patients and providers. Secondly, it is necessary to employ diverse measures including regulation, incentives and administrative supports. Thirdly, some of the approaches should be planned from a long range perspective, for it often takes a long time to change some aspects of health care utilization and provision.

• Journal of Preventive Medicine and Public Health
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• v.23 no.3 s.31
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• pp.285-295
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• 1990

The utilization of medical care services has been partly regionalized with the implementation of referral requirement by the government since July 1, 1989 when the health insurance coverage was extended to all the people. For the purpose of regionalization, the whole country has been primarily divided into tertiary care regions, and each of them again into secondary care regions. This study investigates the self-sufficiency for in-patient care services of secondary care regions focusing on why it varies among the regions. In doing so, analysis is performed to examine a model which embodies three sets of hypotheses as follows : 1) The regional self-sufficiency for medical care services would be subject to direct influences of regional characteristics, amount of available services and structural properties of regional medical care system ; 2) The regional characteristics would have indirect effects on the self-sufficiency which are mediated by medical care services ; and 3) The amount of available services would indirectly affect the self-sufficiency by influencing the structure of regional medical care system. The results of analysis were generally consistent with the model. The findings have some practical implications. The regional self-sufficiency for medical care services partly depends upon basic properties of each region which cannot be changed in a short period of time. Thus the self-sufficiency for medical care services can be improved mainly by health policy measures. In some of the regions the self-sufficiency for in-patient care services was much higher or lower than can be predicted from the bed-population ratio. Indication is that the allocation of health resources should be made considering a variety of factors bearing upon the supply of and demand for health care ; not on the basis of just a single criterion like the availability. The self-sufficiency of a certain region is related to not only its own characterstics but also the characteristics of neighboring regions. Therefore, attention should be also directed to the inter-regional relationships in health care when the needs for investment of health resources in a region are assessed. However, it should be noted that this study used the data collected before the referral requirement was imposed. A replication of this analysis using recent data would provide an evaluation of the impact on the self-sufficiency of the referral requirement as well as a confirmation of the findings of this study.

• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.647-660
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• 2001

Forming health care management model in small-scale enterprises was the purpose of this study. For the purpose, we tried to investigate the characteristics of small-scale enterprises and analyzed the pattern of their health care management. The results are as follow: 1. The strength of health managing agency and technical supporting program lies in team approach by specialized manpower. However, if the liaison between each part of the organization is not smooth, the overall management will be very difficult. 2. Small scale enterprises are characterized by their short life after the establishment, use of rental building, lack of welfare facilities, weakness in sanitary management and aggregation of factories of similar type of industry. Because of these characteristics, it is very difficult to solve problem basically, such as improvement of working environment. Therefore, it is important to focus on health education and community based approach. 3. Many workers in small-scale factories are in middle and old age. They have health problems mainly related to personal habits. Implementation of an appropriate health promotion program is needed. 4. The number of workplaces, which should be managed by health managing agent. is increasing rapidly. But the number of health managing agent is limited. In the aspect of the requirement of manpower and equipment, training personal agent is more urgent than founding institutional agent. 5. The uniform method of health management hampers the choice of employer and workers. The types of provision of health management should be diversified. 6. For an efficient management, a frequent visit of personal agent and the following referral to a specialist should be done. The specialists in charge of secondary management are from the field of occupational medicine, occupational hygiene, ergonomics, etc. 7. The health management of small-scale facilities should have six components. They are community-based approach, multi-disciplinary cooperative system, program based on the need of recipient, forming partnership of employer and worker, change of lifestyle, and evidence-based program.

• Journal of Preventive Medicine and Public Health
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• v.16 no.1
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• pp.135-152
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• 1983

Emergency medical service is an important part of the health care delivery system, and the optimal allocation of resources and their efficient utilization are essentially demanded. Since these conditions are the prerequisite to prompt treatment which, in turn, will be crucial for life saving and in reducing the undesirable sequelae of the event. This study, taking the hyperbaric chamber for carbon monoxide poisoning as an example, is to develop a stochastic approach for solving the problems of optimal allocation of such emergency medical facility in Korea. The hyperbaric chamber, in Korea, is used almost exclusively for the treatment of acute carbon monoxide poisoning, most of which occur at home, since the coal briquette is used as domestic fuel by 69.6 per cent of the Korean population. The annual incidence rate of the comatous and fatal carbon monoxide poisoning is estimated at 45.5 per 10,000 of coal briquette-using population. It offers a serious public health problem and occupies a large portion of the emergency outpatients, especially in the winter season. The requirement of hyperbaric chambers can be calculated by setting the level of the annual queueing rate, which is here defined as the proportion of the annual number of the queued patients among the annual number of the total patients. The rate is determined by the size of the coal briquette-using population which generate a certain number of carbon monoxide poisoning patients in terms of the annual incidence rate, and the number of hyperbaric chambers per hospital to which the patients are sent, assuming that there is no referral of the patients among hospitals. The queueing occurs due to the conflicting events of the 'arrival' of the patients and the 'service' of the hyperbaric chambers. Here, we can assume that the length of the service time of hyperbaric chambers is fixed at sixty minutes, and the service discipline is based on 'first come, first served'. The arrival pattern of the carbon monoxide poisoning is relatively unique, because it usually occurs while the people are in bed. Diurnal variation of the carbon monoxide poisoning can hardly be formulated mathematically, so empirical cumulative distribution of the probability of the hourly arrival of the patients was used for Monte Carlo simulation to calculate the probability of queueing by the number of the patients per day, for the cases of one, two or three hyperbaric chambers assumed to be available per hospital. Incidence of the carbon monoxide poisoning also has strong seasonal variation, because of the four distinctive seasons in Korea. So the number of the patients per day could not be assumed to be distributed according to the Poisson distribution. Testing the fitness of various distributions of rare event, it turned out to be that the daily distribution of the carbon monoxide poisoning fits well to the Polya-Eggenberger distribution. With this model, we could forecast the number of the poisonings per day by the size of the coal-briquette using population. By combining the probability of queueing by the number of patients per day, and the probability of the number of patients per day in a year, we can estimate the number of the queued patients and the number of the patients in a year by the number of hyperbaric chamber per hospital and by the size of coal briquette-using population. Setting 5 per cent as the annual queueing rate, the required number of hyperbaric chambers was calculated for each province and for the whole country, in the cases of 25, 50, 75 and 100 per cent of the treatment rate which stand for the rate of the patients treated by hyperbaric chamber among the patients who are to be treated. Findings of the study were as follows. 1. Probability of the number of patients per day follows Polya-Eggenberger distribution. $$P(X=\gamma)=\frac{\Pi\limits_{k=1}^\gamma[m+(K-1)\times10.86]}{\gamma!}\times11.86^{-{(\frac{m}{10.86}+\gamma)}}$$ when$${\gamma}=1,2,...,n$$$$P(X=0)=11.86^{-(m/10.86)}$$ when $${\gamma}=0$$ Hourly arrival pattern of the patients turned out to be bimodal, the large peak was observed in $7 : 00{\sim}8 : 00$ a.m., and the small peak in $11 : 00{\sim}12 : 00$ p.m. 2. In the cases of only one or two hyperbaric chambers installed per hospital, the annual queueing rate will be at the level of more than 5 per cent. Only in case of three chambers, however, the rate will reach 5 per cent when the average number of the patients per day is 0.481. 3. According to the results above, a hospital equipped with three hyperbaric chambers will be able to serve 166,485, 83,242, 55,495 and 41,620 of population, when the treatmet rate are 25, 50, 75 and 100 per cent. 4. The required number of hyperbaric chambers are estimated at 483, 963, 1,441 and 1,923 when the treatment rate are taken as 25, 50, 75 and 100 per cent. Therefore, the shortage are respectively turned out to be 312, 791. 1,270 and 1,752. The author believes that the methodology developed in this study will also be applicable to the problems of resource allocation for the other kinds of the emergency medical facilities.